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Cannot load the dataset split (in streaming mode) to extract the first rows.
Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
datetime: string
cough_detected: string
latitude: string
longitude: string
age: string
gender: string
respiratory_condition: string
fever_muscle_pain: string
status: string
to
{'datetime': Value('string'), 'cough_detected': Value('string'), 'latitude': Value('string'), 'longitude': Value('string')}
because column names don't match
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/utils.py", line 99, in get_rows_or_raise
                  return get_rows(
                         ^^^^^^^^^
                File "/src/libs/libcommon/src/libcommon/utils.py", line 272, in decorator
                  return func(*args, **kwargs)
                         ^^^^^^^^^^^^^^^^^^^^^
                File "/src/services/worker/src/worker/utils.py", line 77, in get_rows
                  rows_plus_one = list(itertools.islice(ds, rows_max_number + 1))
                                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2690, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2227, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2251, in _iter_arrow
                  for key, pa_table in self.ex_iterable._iter_arrow():
                                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 494, in _iter_arrow
                  for key, pa_table in iterator:
                                       ^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 384, in _iter_arrow
                  for key, pa_table in self.generate_tables_fn(**gen_kwags):
                                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 299, in _generate_tables
                  self._cast_table(pa_table, json_field_paths=json_field_paths),
                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 128, in _cast_table
                  pa_table = table_cast(pa_table, self.info.features.arrow_schema)
                             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2321, in table_cast
                  return cast_table_to_schema(table, schema)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2249, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              datetime: string
              cough_detected: string
              latitude: string
              longitude: string
              age: string
              gender: string
              respiratory_condition: string
              fever_muscle_pain: string
              status: string
              to
              {'datetime': Value('string'), 'cough_detected': Value('string'), 'latitude': Value('string'), 'longitude': Value('string')}
              because column names don't match

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COUGHVID — Reference for PRAXIS-VOX

This repository is a reference pointer, not a full mirror. The canonical dataset is hosted permanently on Zenodo by the original authors.

PRAXIS-VOX (the voice-biomarker side-channel of PRAXIS, MSc dissertation, University of Leicester, 2026) uses this dataset for the respiratory_cough condition probe.

Where the data lives

Canonical source (Zenodo, permanent, free):

https://zenodo.org/record/4498364

Quick download

mkdir -p ~/data/coughvid
cd ~/data/coughvid
wget https://zenodo.org/record/4498364/files/public_dataset.zip
unzip public_dataset.zip

What COUGHVID contains

  • 27,550 cough recordings (.webm and .ogg)
  • 27,550 per-sample metadata JSONs
  • metadata_compiled.csv with all labels in one file (27,551 rows)

Per-record fields: cough detection probability, SNR, demographics, respiratory_condition label, COVID status, four independent expert annotations covering quality, cough type, dyspnoea, wheezing, stridor, choking, congestion, diagnosis, severity.

License

CC-BY-4.0. Free to redistribute and use with attribution.

Citation

@article{orlandic2021coughvid,
  title={The COUGHVID crowdsourcing dataset, a corpus for the study of
         large-scale cough analysis algorithms},
  author={Orlandic, Lara and Teijeiro, Tomas and Atienza, David},
  journal={Scientific Data},
  volume={8},
  number={1},
  pages={156},
  year={2021},
  publisher={Nature Publishing Group UK London},
  doi={10.1038/s41597-021-00937-4}
}

How PRAXIS-VOX uses it

Loaded via praxis_vox/data/unified.py::load_coughvid() to label samples under the respiratory_cough condition for orthogonal-probe training (Contribution 4 of the dissertation).

Note

A partial upload of ~10,000 audio files exists in this repo from an aborted mirror attempt on 2026-05-06. Do not rely on this partial mirror. Always download from Zenodo for the complete dataset.

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